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NECO
2007
129views more  NECO 2007»
15 years 3 months ago
Variational Bayes Solution of Linear Neural Networks and Its Generalization Performance
It is well-known that, in unidentifiable models, the Bayes estimation provides much better generalization performance than the maximum likelihood (ML) estimation. However, its ac...
Shinichi Nakajima, Sumio Watanabe
SPIN
2010
Springer
15 years 2 months ago
Enacting Declarative Languages Using LTL: Avoiding Errors and Improving Performance
In our earlier work we have proposed using the declarative language DecSerFlow for modeling, analysis and enactment of processes in autonomous web services. DecSerFlow uses constra...
Maja Pesic, Dragan Bosnacki, Wil M. P. van der Aal...
CLUSTER
2009
IEEE
15 years 2 months ago
Coordinating the use of GPU and CPU for improving performance of compute intensive applications
GPUs have recently evolved into very fast parallel co-processors capable of executing general purpose computations extremely efficiently. At the same time, multi-core CPUs evolutio...
George Teodoro, Rafael Sachetto Oliveira, Olcay Se...
TC
2011
14 years 11 months ago
Performing Arithmetic Operations on Round-to-Nearest Representations
—During any composite computation, there is a constant need for rounding intermediate results before they can participate in further processing. Recently, a class of number repre...
Peter Kornerup, Jean-Michel Muller, Adrien Panhale...
MIR
2010
ACM
167views Multimedia» more  MIR 2010»
15 years 11 months ago
Improving automatic music classification performance by extracting features from different types of data
This paper discusses two sets of automatic musical genre classification experiments. Promising research directions are then proposed based on the results of these experiments. The...
Cory McKay, Ichiro Fujinaga